Skip to main content

Common European Data Spaces and Robust AI for Transparent Public Governance

Cedar Background
cedar logo

The world is currently confronting unprecedented challenges, encompassing a global pandemic, ongoing conflicts, and environmental and energy crises. In response to these crises, there has been a significant surge in emergency public spending, accompanied by a relaxation of due diligence checks and oversight.
Consequently, this has given rise to patterns of corruption and fraudulent activities, exerting profound and detrimental impacts on the European economy, society, environment, and politics.

CEDAR sees these challenges as catalysts for research, innovation, and collaboration.

GOAL 1 - IDENTIFY

GOAL 1 - IDENTIFY

Collect, generate, harmonise, synchronise, protect, and share new large-scale, high-quality, high-value datasets.

GOAL 2 - BUILD

GOAL 2 - BUILD

Improve methods and tools for effective data management and machine learning (ML) operations (DataOps, MLOps).

GOAL 3 - DEVELOP

GOAL 3 - DEVELOP

New data analytics and machine learning methods for robust, data-efficient, human-centric, and well-informed decision making.

GOAL 4 - VALIDATE

GOAL 4 - VALIDATE

Promote CEDAR results with relevant public and private stakeholders and generate direct and tangible impacts on the European economy, society, and environment.

Articles

The workshop focused on the shared vision of creating resilient, trusted, and interoperable data spaces.
EOSC EU Node will connect existing scientific services and support EU’s open science policy.
The European ADRF is the annual community event organised by the AI, Data and Robotics Association in collaboration with the European Commission.
newsletter